The trend in communication is very clear; everything goes towards wireless communication systems. Since, the wireless channel is very hostile channel due to capacity limiting effects like co-channel interference, inter symbol interference, multi-path propagation and noise, these system require very good channel equalizers in order to combat these effects. However, since the mobile devices in mobile systems are usually very small these channel equalizations schemes need to be very low computationally complexity (i.e. low power consummation) in order to of any practical use. One method to implement powerful channel equalization schemes in a very efficiently is to implement them with help sub-band processing. In fact, you can implement very complex algorithm in the sub-band to a fraction of complexity of the fullband implementation. This is due to the fact that instead of solving one large problem we are solving many small ones instead.

Therefore, this master thesis will investigate the performance of low complexity adaptive sub-band channel equalizers evaluated on a wireless channel. The thesis will also compare blind schemes (no training sequence) with non-blind schemes in order to investigate performance trade offs. The thesis will mostly focus on the Constant Modulus Algorithm (CMA) and its sub-bands versions.